FRAMES-F1 is live.
A composite model built to access and verify premium data.
F1 is built on 500K+ real transactions processed through Frames AgentWallet.
Use it like any model you already run. Same workflow, plus all the data web search can't reach.
Powered by @solana
Don't take our word for it.
We gave frontier models the same data queries, side by side: its own answers vs. FRAMES-F1.
F1 is a model that can access data beyond web search, across 100+ premium data providers.
It takes cares of routing, executing and VALIDATING the result.
Send it a request. FRAMES-F1:
> finds the right source across 100+ premium data providers
> pays for and retrieves the data
> verifies what the provider returned
> delivers a sourced answer
FRAMES-F1 is a composite model optimized for fetching and validating paywalled data.
aka your Claude has access to leading data providers and knows how to use them natively
📍 join us TODAY in SF at 5:30p for a first preview at @colosseum
first event ever in SF at the @colosseum office
this is a meaningful launch for us. we've spent months experimenting with different things until we landed on a thing that felt unique
it's called F1
see you thursday!
We built an AI model for data payments.
If you're in SF this Thursday join us for the first live preview of FRAMES-F1 at the @colosseum office.
luma.com/ybb5siwi
Limited spots available 👇
after analyzing +400K transactions processed through @framesag we noticed a pattern:
>agents want data<
so we built a composite model optimized for fetching proprietary data
and it works!
if you're in SF we're showing a first preview of FRAMES-F1 Thursday @ 5:30pm at the
We built an AI model for data payments.
If you're in SF this Thursday join us for the first live preview of FRAMES-F1 at the @colosseum office.
luma.com/ybb5siwi
Limited spots available 👇
Bigger than the worldcup 🗽
We're here @ethconf represented by @microchipgnu & @marcelokunze
>> Get better sources & results for your AIs: Access paywalled data and structured context, saving tokens and improving accuracy.
Frames.AG
also:
> citi biking over williamsburg bridge
> sauna + ice bath @ othership nyc
> performative reading zero to one on a blanket in mccarren park
> eating a bagle
Agent payments are growing but the infrastructure is still fragmented.
+70% of merchants are still limited to only one network: mostly @solana, @base and @tempo.
@PayAINetwork fixes this by connecting x402/MPP to all major networks.
We partnered with them to maintain a live
> you give us a goal
> we build, verify, and maintain the dataset continuously
> clean, structured and verified data, ready to ingest by any agent
> token efficiency + accuracy improvement
learn more:
The internet is overflowing with slop.
Every day it's harder for agents to retrieve the data they need. And tokens get wasted in the process.
We fixed this: you input a schema and you get structured, clean and verified data back.
One click ingest for any agent, on any client.
83% of all layoffs announced in 2026 mention AI restructuring as the reason
almost 65k jobs across 13 companies, in 5 months
tracked live: layoffs-2026.data.frames.ag
powered by a new thing we're exploring @framesag
